GeoDM: Geometry-aware Distribution Matching for Dataset Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xuhui, Luo, Zhengquan, Cui, Zihui, Xu, Zhiqiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation
by: Cui, Jiacheng, et al.
Published: (2025)
by: Cui, Jiacheng, et al.
Published: (2025)
Dataset Distillation via Committee Voting
by: Cui, Jiacheng, et al.
Published: (2025)
by: Cui, Jiacheng, et al.
Published: (2025)
Multimodal Distribution Matching for Vision-Language Dataset Distillation
by: Jeong, Jongoh, et al.
Published: (2026)
by: Jeong, Jongoh, et al.
Published: (2026)
DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models
by: Wang, Qichao, et al.
Published: (2026)
by: Wang, Qichao, et al.
Published: (2026)
Path-Guided Flow Matching for Dataset Distillation
by: Li, Xuhui, et al.
Published: (2026)
by: Li, Xuhui, et al.
Published: (2026)
Peering into the Unknown: Active View Selection with Neural Uncertainty Maps for 3D Reconstruction
by: Zhang, Zhengquan, et al.
Published: (2025)
by: Zhang, Zhengquan, et al.
Published: (2025)
SAS: Semantic-aware Sampling for Generative Dataset Distillation
by: Li, Mingzhuo, et al.
Published: (2026)
by: Li, Mingzhuo, et al.
Published: (2026)
Beyond Dataset Distillation: Lossless Dataset Concentration via Diffusion-Assisted Distribution Alignment
by: Liu, Tongfei, et al.
Published: (2026)
by: Liu, Tongfei, et al.
Published: (2026)
Self-supervised Dataset Distillation: A Good Compression Is All You Need
by: Zhou, Muxin, et al.
Published: (2024)
by: Zhou, Muxin, et al.
Published: (2024)
FocusDD: Real-World Scene Infusion for Robust Dataset Distillation
by: Hu, Youbing, et al.
Published: (2025)
by: Hu, Youbing, et al.
Published: (2025)
Towards Principled Dataset Distillation: A Spectral Distribution Perspective
by: Wu, Ruixi, et al.
Published: (2026)
by: Wu, Ruixi, et al.
Published: (2026)
Continuous-Time Distribution Matching for Few-Step Diffusion Distillation
by: Liu, Tao, et al.
Published: (2026)
by: Liu, Tao, et al.
Published: (2026)
Dataset Distillation via Curriculum Data Synthesis in Large Data Era
by: Yin, Zeyuan, et al.
Published: (2023)
by: Yin, Zeyuan, et al.
Published: (2023)
FAME: Fairness-aware Attention-modulated Video Editing
by: Wu, Zhangkai, et al.
Published: (2025)
by: Wu, Zhangkai, et al.
Published: (2025)
PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion Model
by: Ko, Beomseok, et al.
Published: (2025)
by: Ko, Beomseok, et al.
Published: (2025)
Mitigating Bias in Dataset Distillation
by: Cui, Justin, et al.
Published: (2024)
by: Cui, Justin, et al.
Published: (2024)
Label-Augmented Dataset Distillation
by: Kang, Seoungyoon, et al.
Published: (2024)
by: Kang, Seoungyoon, et al.
Published: (2024)
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation
by: Shen, Zhiqiang, et al.
Published: (2024)
by: Shen, Zhiqiang, et al.
Published: (2024)
Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation
by: Xu, Yue, et al.
Published: (2023)
by: Xu, Yue, et al.
Published: (2023)
When Thinking Drifts: Evidential Grounding for Robust Video Reasoning
by: Luo, Mi, et al.
Published: (2025)
by: Luo, Mi, et al.
Published: (2025)
Decoupled Audio-Visual Dataset Distillation
by: Li, Wenyuan, et al.
Published: (2025)
by: Li, Wenyuan, et al.
Published: (2025)
Foreground-Aware Dataset Distillation via Dynamic Patch Selection
by: Li, Longzhen, et al.
Published: (2026)
by: Li, Longzhen, et al.
Published: (2026)
Group Distributionally Robust Dataset Distillation with Risk Minimization
by: Vahidian, Saeed, et al.
Published: (2024)
by: Vahidian, Saeed, et al.
Published: (2024)
Flow-OPD: On-Policy Distillation for Flow Matching Models
by: Fang, Zhen, et al.
Published: (2026)
by: Fang, Zhen, et al.
Published: (2026)
Semantic Discrepancy-aware Detector for Image Forgery Identification
by: Wang, Ziye, et al.
Published: (2025)
by: Wang, Ziye, et al.
Published: (2025)
Hyperbolic Dataset Distillation
by: Li, Wenyuan, et al.
Published: (2025)
by: Li, Wenyuan, et al.
Published: (2025)
GeoWorld-VLM: Geometry from World Models for Vision-Language Models
by: Gu, Renjie, et al.
Published: (2026)
by: Gu, Renjie, et al.
Published: (2026)
Scale Decoupled Distillation
by: Luo, Shicai Wei Chunbo Luo Yang
Published: (2024)
by: Luo, Shicai Wei Chunbo Luo Yang
Published: (2024)
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios
by: Wang, Kai, et al.
Published: (2024)
by: Wang, Kai, et al.
Published: (2024)
ILDiff: Generate Transparent Animated Stickers by Implicit Layout Distillation
by: Zhang, Ting, et al.
Published: (2024)
by: Zhang, Ting, et al.
Published: (2024)
DreamPolish: Domain Score Distillation With Progressive Geometry Generation
by: Cheng, Yean, et al.
Published: (2024)
by: Cheng, Yean, et al.
Published: (2024)
Hyperbolic Distillation: Geometry-Guided Cross-Modal Transfer for Robust 3D Object Detection
by: Ning, Kanglin, et al.
Published: (2026)
by: Ning, Kanglin, et al.
Published: (2026)
Generative Dataset Distillation Based on Self-knowledge Distillation
by: Li, Longzhen, et al.
Published: (2025)
by: Li, Longzhen, et al.
Published: (2025)
Geo-LLaVA: A Large Multi-Modal Model for Solving Geometry Math Problems with Meta In-Context Learning
by: Xu, Shihao, et al.
Published: (2024)
by: Xu, Shihao, et al.
Published: (2024)
Rethinking FID Through the Geometry of the Reference Dataset
by: Lee, Yunghee, et al.
Published: (2026)
by: Lee, Yunghee, et al.
Published: (2026)
SlotMatch: Distilling Object-Centric Representations for Unsupervised Video Segmentation
by: Grigore, Diana-Nicoleta, et al.
Published: (2025)
by: Grigore, Diana-Nicoleta, et al.
Published: (2025)
FD$^2$: A Dedicated Framework for Fine-Grained Dataset Distillation
by: Ma, Hongxu, et al.
Published: (2026)
by: Ma, Hongxu, et al.
Published: (2026)
Improving Noise Efficiency in Privacy-preserving Dataset Distillation
by: Zheng, Runkai, et al.
Published: (2025)
by: Zheng, Runkai, et al.
Published: (2025)
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation
by: Abbasi, Ali, et al.
Published: (2024)
by: Abbasi, Ali, et al.
Published: (2024)
Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation
by: Cui, Xiao, et al.
Published: (2025)
by: Cui, Xiao, et al.
Published: (2025)
Similar Items
-
FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation
by: Cui, Jiacheng, et al.
Published: (2025) -
Dataset Distillation via Committee Voting
by: Cui, Jiacheng, et al.
Published: (2025) -
Multimodal Distribution Matching for Vision-Language Dataset Distillation
by: Jeong, Jongoh, et al.
Published: (2026) -
DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models
by: Wang, Qichao, et al.
Published: (2026) -
Path-Guided Flow Matching for Dataset Distillation
by: Li, Xuhui, et al.
Published: (2026)